Features of the linear operator in a process of computation of false positive detection in white matter tractography
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU136487" target="_blank" >RIV/00216305:26220/20:PU136487 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Features of the linear operator in a process of computation of false positive detection in white matter tractography
Original language description
To date, tractography using magnetic resonance data is the only way how to map white matter structure in living human brain. However, current tractography algorithms carry a burden of high false positive detection rate. COMMIT algorithm reduces the implausible positive connections by incorporation microstructural information into the analysis. In this paper, features of the COMMIT formulation are explored and hypothesis for further exploration is proposed.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů